This article proposes the construction and application of a didactic model focused on the mixing process, aimed at improving the practical teaching and learning processes in the industrial automation workshop of the Instituto Tecnológico Superior Universitario Oriente. Initially, the problem is identified through diagnostic techniques, which highlight the difficulty of teaching classes on automated industrial contexts using theoretical approaches. The methodology employed is experimental, allowing for the exposition of the constructive process of the didactic model through the use of emerging tools and technologies applied in the industry. The experimental results show a positive impact on students’ academic performance. The proportion of students who believe that didactic materials improve their academic performance increased from 10% to 65%, reflecting that the model has been a valuable resource for enhancing learning and the effective application of knowledge. This increase suggests that the implementation of the didactic model not only facilitates a better understanding of industrial processes but also contributes to achieving better academic outcomes, thus strengthening the quality of education in the field of industrial automation. The integration of these didactic tools into technical education is highlighted as an essential element to provide a more comprehensive and effective learning experience.

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Didactic Model for the Teaching-Learning of Industrial Processes in Higher Education

  • Marco V. Pilco,
  • E. Fabián Rivera,
  • Paul S. Espinoza,
  • Jerry Medina

摘要

This article proposes the construction and application of a didactic model focused on the mixing process, aimed at improving the practical teaching and learning processes in the industrial automation workshop of the Instituto Tecnológico Superior Universitario Oriente. Initially, the problem is identified through diagnostic techniques, which highlight the difficulty of teaching classes on automated industrial contexts using theoretical approaches. The methodology employed is experimental, allowing for the exposition of the constructive process of the didactic model through the use of emerging tools and technologies applied in the industry. The experimental results show a positive impact on students’ academic performance. The proportion of students who believe that didactic materials improve their academic performance increased from 10% to 65%, reflecting that the model has been a valuable resource for enhancing learning and the effective application of knowledge. This increase suggests that the implementation of the didactic model not only facilitates a better understanding of industrial processes but also contributes to achieving better academic outcomes, thus strengthening the quality of education in the field of industrial automation. The integration of these didactic tools into technical education is highlighted as an essential element to provide a more comprehensive and effective learning experience.